This course offers students a comprehensive understanding of the methodologies and best practises essential for developing robust and ethical AI systems. It encompasses both traditional systems analysis and design principles and their adaptation to the unique challenges posed by AI systems. The course aims to equip students with the skills necessary to elicit requirements, model AI systems, design appropriate architectures, and adopt data-centric approaches. Objectives include developing proficiency in designing safe, explainable, and user-friendly AI systems, evaluating their performance, and addressing the ethical implications of AI development, thus preparing students to effectively manage the complexities of AI system development in business contexts.